Many starting in data science and data analytics may get introduced to pandas before being introduced to the structured query language (SQL).SQL has a lot of analogous methods and functions, with some even having the[…]
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Category: Python
Groupby and Aggregation with Pandas
Groupby — the Least Understood Pandas MethodGroupby may be one of panda’s least understood commands. While the lessons in books and on websites are helpful, I find that real-world examples are significantly more complex than[…]
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Joins with Pandas
For those of you who are familiar with SQL, you will recognize the logic and functionality behind the Pandas merge feature. However, if you are not familiar with SQL, or need a refresher, this post[…]
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Dataframe Creation with Pandas
Pandas not only allows you to read in dataframes, but it also lets you create them. Pandas and python give coders several ways of making dataframes. One of the ways to make a dataframe is[…]
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CSV File Reading Without Pandas
CSV stands for comma-separated value. It is a file type that is common in the data science world. CSV files are typically Unicode text, but not always. Python can handle opening and closing files, but[…]
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Command Line Git
Git is the most common method of version control among developers. Git from the command line is particularly useful in working with virtual private servers.
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Numpy, Arrays, and Matrices
Numpy is one of the more essential libraries in python. Numpy allows you to work with arrays. Python has a list data type built-in. However, you must import numpy to work with arrays or matrices.[…]
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R Vrs. Python
In the data science realm, Python is the go-to programming language. R also has a strong following. Both open-source programming languages have advantages and disadvantages. Also, new tools and libaries are frequently added to both[…]
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Free Data Science Courses (Updated for 2021)
A lot of data science courses claim to be free, but most are not. Many, such as Coursera, let you sign up for free for a trial period of about a week. After that, you[…]
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Complex loc and iloc Statements (Python Pandas Tutorial Part II)
Loc and iloc are some of the most powerful statements in Python’s Pandas library. iloc, which stands for index location, finds all the values in a data frame with the specified indexes. loc finds the[…]
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